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plantphys / gsti

A project focused on the development of generalized spectra-trait models for the prediction of leaf photosynthetic capacity. This includes models focused on the prediction of leaf nitrogen, leaf mass per area (LMA), leaf water content (LWC), Vcmax, Jmax and dark respiration.
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Rogers_et_al_2017 #15

Open JulienLamour opened 2 years ago

JulienLamour commented 2 years ago

0_Import_transform_original_ACi_data

JulienLamour commented 2 years ago

Check if all the data is here or if there is more somewhere. Notably for the year 2013, I have spectra not associated with any Aci.

serbinsh commented 2 years ago

@JulienLamour this is part of the NGEE arctic datasets that I mentioned that I will need to curate here for us. It will be far easier as I already know how it all fits together and did this already for the ngee paper

The NGEE data spans 2013-2019 and is for Barrow and Sew Pen

JulienLamour commented 2 years ago

OK, sounds good. I have separated two folders based on your papers (Rogers et al 2017 and Rogers et al. 2019) but I only worked on 2017 so far. You can merge both folders if you think thats more relevant.

I found this dataset was more tricky than others since a lot of time there is only Ac limitation. That's why I fit the data with only Ac, Ac + Aj and Ac + Aj + Ap. As always, the fitting with the lowest BIC wins. It seems to work well.

serbinsh commented 1 year ago

@JulienLamour also recall these Arctic data also have some trickiness in terms of what to use as the Tleaf src for the Utqiagvik (Barrow) data. I think I found that the Tair data was generally better to use as src but need to review that again. There were some strange issues when using the measured Tleaf. At the same time I also saw strange Aci fitting issues

Perhaps your code produced better results but I need to specifically dig into this dataset in more detail